Bring Madrid
to Vercel AI SDK
Learn how to connect Comunidad de Madrid (Portal Regional) to Vercel AI SDK and start using 5 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Comunidad de Madrid (Portal Regional) MCP Server?
Connect your AI agent to the Comunidad de Madrid Open Data Portal to access a wealth of public information directly through natural language. This MCP server provides a bridge to the regional CKAN-based repository, covering everything from transport and health to environment and economy.
What you can do
- Dataset Discovery — Search for specific datasets using keywords like 'transporte', 'salud', or 'medio ambiente' to find relevant public records.
- Metadata Inspection — Retrieve full metadata for datasets, including tags, organizations, and update frequencies.
- Resource Management — List and inspect individual files (resources) within a dataset, such as CSVs, JSONs, or PDFs.
- Direct Data Querying — Use the DataStore integration to query the actual content of datasets directly, allowing for data analysis without manual downloads.
- Portal Exploration — List all available dataset identifiers to understand the scope of available regional data.
How it works
- Subscribe to this server
- (Optional) Enter your Comunidad de Madrid CKAN API Key for higher rate limits
- Start querying regional data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Data Analysts — quickly pull regional statistics and records into your workflow for analysis.
- Developers — integrate real-time public data from Madrid into applications without navigating complex API docs.
- Researchers & Citizens — find public information about air quality, transport schedules, or economic indicators through simple conversation.
Built-in capabilities (5)
Get full metadata for a specific dataset
Get metadata for a specific resource
List all dataset identifiers in the portal
g., transporte, salud). Search for datasets matching specific criteria
Query data directly from a resource in the DataStore
Why Vercel AI SDK?
The Vercel AI SDK gives every Comunidad de Madrid (Portal Regional) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 5 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
- —
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
- —
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Comunidad de Madrid (Portal Regional) integration everywhere
- —
Built-in streaming UI primitives let you display Comunidad de Madrid (Portal Regional) tool results progressively in React, Svelte, or Vue components
- —
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Comunidad de Madrid (Portal Regional) in Vercel AI SDK
Comunidad de Madrid (Portal Regional) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Comunidad de Madrid (Portal Regional) to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Comunidad de Madrid (Portal Regional) in Vercel AI SDK
The Comunidad de Madrid (Portal Regional) MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 5 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Comunidad de Madrid (Portal Regional) for Vercel AI SDK
Every tool call from Vercel AI SDK to the Comunidad de Madrid (Portal Regional) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can I find datasets about a specific topic like 'transport'?
Use the search_datasets tool with the query 'transporte'. The agent will return a list of matching datasets with their unique IDs and descriptions from the portal.
Can I see the actual content of a data file without downloading it?
Yes. If the resource is stored in the CKAN DataStore, you can use the search_datastore tool with the Resource ID to query the rows and columns directly.
Is an API key mandatory to use this server?
No, it is optional. However, providing a CKAN_API_KEY allows for higher rate limits and access to restricted datasets if your account has permissions.
How does the Vercel AI SDK connect to MCP servers?
Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
Can I use MCP tools in Edge Functions?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
Explore More MCP Servers
View all →
Peerbie
16 toolsOrchestrate your entire team's workspace, from Kanban boards to calendar events, completely driven by AI.
Hotjar
15 toolsUnderstand your users with heatmaps, session recordings, and feedback surveys that reveal exactly why visitors leave your site.
X Ads (Twitter)
8 toolsManage your X Ads campaigns — audit accounts, line items, and analytics via AI.
Clover
10 toolsManage orders, payments, inventory, customers, employees, and discounts for your Clover POS through natural conversation.